*A one-day workshop on Computational Linguistics on East Asian
Languages* will be held as an online event on 31 July 2022, in
conjunction with the 29th International Conference on Head-driven Phrase
Structure Grammar (29-30 July 2022).
The aim of the workshop is to promote interdisciplinary and
cross-language discussion on approaches to linguistic analyses using
computational techniques (broadly construed), with a focus on East Asian
languages. We strongly encourage researchers from outside the HPSG
framework to submit.
Possible topics include, but are not limited to syntactic/semantic
parsing, cognitive modelling with computational models, development of
language resources with annotations beyond the word level (treebanks,
propbanks, discourse annotations, etc.), and applications of large-scale
corpus data and/or sophisticated machine learning techniques to
addressing questions in linguistic theory.
*Workshop Format: *
The workshop on Computational Linguistics on East Asian languages will
take place following the two-day main HPSG 2022 conference.
Presentations will be pre-recorded and pre-loaded on the conference
website, and the discussion period will be online.
*Invited speaker:*
Koji Mineshima (Keio University)
*Submissions: *We welcome two types of submissions for the workshop:
- Long papers (4-page abstract + 1 page data, figures & references; 20
minute pre-recorded presentation + 15 minute online discussion)
- Short papers (2-page abstract + 1 page data, figures & references; 10
minute pre-recorded presentation + 10 minute online discussion)
Please note that abstracts submitted for the “long paper” track can be
accepted as “short papers” (and vice versa) and that the Program
Committee may choose to move a paper submitted to the workshop to the
main conference (and vice versa), whenever such decisions seem
appropriate. Only “long papers” will appear in the proceedings.
If you intend to present at the workshop, please choose the option
Computational Linguistics Workshop as your Submission Type.
All abstracts should be submitted in PDF format via:
https://easychair.org/conferences/?conf=hpsg22
All abstracts will be reviewed anonymously by at least two reviewers.
The submissions should not include the authors' names, and authors are
asked to avoid self-references. Please direct any questions to the
Program Committee Chair: Elodie Winckel (hpsg22(a)easychair.org).
*Workshop organizer: *
Yusuke Kubota (National Institute for Japanese Language and Linguistics)
*Important dates:*
Abstract submission deadline: March 16th 2022 (anywhere on Earth)
Notifications of acceptance: May 2nd 2022
Main Conference: July 29th-30th 2022
Workshop on Computational Linguistics on East Asian Languages : July
31st 2022
*Publication:*
A call for contributions to the proceedings will be issued after the
conference. The papers will be published either at the online
proceedings platform at CSLI together with the main conference
proceedings or in a separate collective volume.
/Dear LFG community,//
//
//I would like to remind you of the international HPSG conference
(hosted online), to which you are cordially invited. Please feel free to
forward this call for papers to anyone who might be interested.//
/
*The 29th International Conference on Head-Driven Phrase Structure
Grammar* will be virtually hosted at Nagoya University and the National
Institute for Japanese Language and Linguistics on 29 July - 31 July
2022. It is an online event. Abstracts are invited that address
linguistic, foundational, or computational issues relating to or in the
spirit of the framework of Head-Driven Phrase Structure Grammar.
Comparison of HPSG work with related theoretical approaches is also welcome.
*Conference Format:* The HPSG 2022 conference will be a two-day main
conference. It will be followed by a one-day workshop on Computational
Linguistics on East Asian Languages, which will be announced separately.
Presentations will be pre-recorded and pre-loaded on the conference
website, and the discussion period will be online.
*Invited speakers:*
• Francis Bond (NTU)
• Seiko Fujii (The University of Tokyo)
*Submissions:* We welcome two types of submissions for the main HPSG
conference:
- Long papers (4-page abstract + 1 page data, figures & references; 20
minute pre-recorded presentation + 15 minute online discussion)
- Short papers (2-page abstract + 1 page data, figures & references; 10
minute pre-recorded presentation + 10 minute online discussion)
Please note that abstracts submitted for the "long paper" track can be
accepted as "short papers" (and vice versa). Only "long papers" will
appear in the proceedings.
All abstracts should be submitted in PDF format via:
https://easychair.org/conferences/?conf=hpsg22
All abstracts will be reviewed anonymously by at least two reviewers.
The submissions should not include the authors' names, and authors are
asked to avoid self-references. Please direct any questions to the
Program Committee Chair: Elodie Winckel (hpsg22(a)easychair.org).
A call for contributions to the proceedings will be issued after the
Conference. Proceedings of previous conferences are available at:
https://proceedings.hpsg.xyz/issue/archive.
*Important Dates:*
Abstract submission deadline: March 16th 2022 (anywhere on earth)
Notifications of acceptance: May 2nd 2022
Main Conference : July 29th-30th 2022
Workshop on Computational Linguistics on East Asian languages : July
31st 2022
Conference proceedings submission: October 15th 2022
*Local Organizing Committee Chair: *
David Oshima (Nagoya University)
Yusuke Kubota (National Institute for Japanese Language and Linguistics)
Fifth Groningen Spring School on Cognitive Modeling
– ACT-R, Nengo, PRIMs, and error-driven learning. –
Date: 4 to 8 April 2022<2022-04-04%2012:00:00%20CEST>
Location: Groningen, the Netherlands
Fee: € 300 (late fee after March 7<2022-03-07%2012:00:00%20CET> will be € 350)
www.cognitive-modeling.com/springschool<http://www.cognitive-modeling.com/springschool>
After an enforced two-year covid break, we are excited to announce the fifth Groningen Spring School on Cognitive Modeling (4 to 8 April 2022<2022-04-04%2012:00:00%20CEST>), with a great lineup of speakers.
The Spring School will cover four different modeling paradigms: ACT-R, Nengo, PRIMs, and discriminative learning. It thereby offers a unique opportunity to learn the relative strengths and weaknesses of these approaches. In addition, this year we are offering a lecture series on dynamical systems, which should be interesting for anyone looking into modeling cognitive dynamics at some or other level of abstraction. We recommend this lecture series as an excellent combination with Nengo, for those interested in neuromorphic computing.
The first day will provide an introduction to all five topics. From day two, spring school students will be asked to commit to one topic, for which they will attend lectures as well as hands-on tutorials to get practical experience at working with the paradigm. In addition, students can sign up for a second topic, for which they will attend lectures only. All students are invited to join a series of plenary research talks on the different paradigms.
Please feel free to forward the information to anyone who might be interested in the Spring School.
The Spring School team
PS: Please note that, due to its interactive character, the spring school will be held as an offline-only event. We will not offer the option for hybrid or online teaching. In case the spring school needs to be cancelled at the last minute after all, participants will receive a full reimbursement.
______________
ACT-R
Teachers: Jelmer Borst, Stephen Jones, & Katja Mehlhorn (University of Groningen)
Website: http://act-r.psy.cmu.edu<http://act-r.psy.cmu.edu/>.
ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI.
Nengo
Teacher: Terry Stewart and Andreas Stöckel (University of Waterloo)
Website: http://www.nengo.ca<http://www.nengo.ca/>
Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data.
PRIMs
Teacher: Niels Taatgen (University of Groningen)
Website: https://www.ai.rug.nl/~niels/prims/index.html
How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction.
Discriminative learning and the lexicon: NDL and LDL
Harald Baayen, Yu-Ying Chuang, and Maria Heitmeier University of Tuebingen
NDL and LDL are simple computational algorithms for lexical learning and lexical processing. Both NDL and LDL assume that learning is discriminative, driven by prediction error, and that it is this error which calibrates the
association strength between input and output representations. Both words’ forms and their meanings are represented by numeric vectors, and mappings between forms and meanings are set up. For comprehension, form vectors predict
meaning vectors. For production, meaning vectors map onto form vectors. These mappings can be learned incrementally, approximating how children learn the words of their language. Alternatively, optimal mappings representing the
endstate of learning can be estimated. The NDL and LDL algorithms are incorporated in a computational theory of the mental lexicon, the ‘discriminative lexicon’. The model shows good performance both with respect to production and comprehension accuracy, and for predicting aspects of lexical processing, including morphological processing, across a wide range of experiments. Since mathematically, NDL and LDL implement multivariate multiple regression, the ‘discriminative lexicon’ provides a cognitively motivated statistical modeling approach to lexical processing.
In this course, we will show how comprehension and production of morphologically complex words can be modeled successfully with the "Discriminative Lexicon" model for a range of languages (Hebrew, Maltese, English, German, Dutch, Mandarin Chinese, Korean, Kinyarwanda, Estonian, and Finnish). We will discuss the kinds of form and meaning representations that can be set up, including form features derived from the speech signal for auditory comprehension and semantic features grounded in distributional semantics. Furthermore, we will provide a survey of the measures that can be derived from the model mappings to predict empirical response variables such as reaction times in primed and unprimed lexical decision, spoken word duration, and tongue movements during speaking. Finally, participants will receive some training in using the JudiLing package for Julia. This package provides optimized code for implementing and evaluating components of a "discriminative lexicon" for a given language.
Dynamical Systems: a Navigation Guide
Teacher: Herbert Jaeger (University of Groningen)
This lecture series gives a broad overview over the zillions of formal models and methods invented by mathematicians and physicists for describing “dynamical systems”. Here is a list of covered items: Finite-state automata (with and without input, deterministic and non-deterministic, probabilistic), hidden Markov models and partially observable Markov decision processes, cellular automata, dynamical Bayesian networks, iterated function systems, ordinary differential equations, stochastic differential equations, delay differential equations, partial differential equations, (neural) field equations, Takens’ theorem, the engineering view on “signals”, describing sequential data by grammars, Chomsky hierarchy, exponential and power-law long-range interactions, attractors, structural stability, bifurcations, phase transitions, topological dynamics, nonautonomous attractor concepts. In the lectures I work out the connecting lines between these different models and methods, aiming at drawing the "big picture". ?
Call for Papers: the deadline for LFG22 has been extended to 22 February.
The updated call for papers follows.
[Apologies for cross-posting]
LFG22: The 27th International Lexical-Functional
Grammar Conference
12 July - 14 July 2022
University of Groningen
Conference website: https://www.ai.rug.nl/lfg22/
Conference e-mail (NOT for abstract submission): lfgconf2022 'at' gmail.com
Abstract submission deadline: 22 February 2022, 23:59 UTC-12 (midnight
anywhere on Earth)
Abstracts should be submitted using the online submission system at
https://easychair.org/conferences/?conf=lfg22
Invited speakers: Miriam Butt (University of Konstanz) and Helge Lødrup
(University of Oslo)
Workshop:
A workshop on Formal Grammars and Cognition will be held on Friday 15 July
2022 (keynote speaker:
Balthasar Bickel, University of Zürich). The workshop aims to promote
discussion and collaboration
between researchers working on formal theories of grammar (including but
not limited to Lexical
Functional Grammar) and those in the fields of language and cognition.
Please refer to the
conference website for more details.
Conference mode:
We are currently planning a physical conference and hope that speakers will
be able to attend in
person. A synchronous, online participation option will be available.
LFG22 welcomes work within the formal architecture of Lexical-Functional
Grammar as well as
typological, formal, and computational work within the 'spirit of LFG' as a
lexicalist approach to
language employing a parallel, constraint-based framework. The conference
aims to promote
interaction and collaboration among researchers interested in
non-derivational approaches to
grammar, where grammar is seen as the interaction of (perhaps violable)
constraints from multiple
levels of structuring, including those of syntactic categories, grammatical
relations, semantics and
discourse.
SUBMISSIONS: TALKS AND POSTERS
The main conference sessions will involve 45-minute talks (30 min + 15 min
discussion), and poster
presentations. Contributions can focus on results from completed as well as
ongoing research, with
an emphasis on novel approaches, methods, ideas, and perspectives, whether
descriptive, theoretical,
formal or computational. Presentations should describe original,
unpublished work.
DISSERTATION SESSION
As in previous years, we are hoping to hold a special session that will
give students the chance to
present recent PhD dissertations (or other student research dissertations).
The dissertations must
be completed by the time of the conference, and they should be made
publicly accessible (e.g., on
the World Wide Web). The talks in this session should provide an overview
of the main original
points of the dissertation; the talks will be 20 minutes, followed by a
10-minute discussion period.
Students should note that the main sessions are certainly also open to
student submissions. Students
who present papers in either session will receive a small subvention
towards their conference costs
from the International LFG Association (ILFGA).
TIMETABLE
Deadline for abstracts: 22 February 2022, 23:59 UTC-12 (midnight anywhere
on Earth)
Notification of acceptance: 31 March 2022
Conference: 12 July - 14 July 2022
SUBMISSION SPECIFICATIONS
The language of the conference is English, and all abstracts must be
written in English.
All abstracts should be submitted using the online submission system.
Submissions should be in the
form of abstracts only. Abstracts can be up to three A4 pages, including
figures and
references. Abstracts should be in 10pt or larger type, with margins of at
least 2cm on all four
sides, and should include a title. Omit name and affiliation (including in
PDF document properties),
and avoid obvious self-reference.
For dissertation session submissions, please add "Dissertation" to the
title of your abstract.
Please submit your abstract in .pdf format (or a plain text file).
The number of submissions is not restricted. However, in the interests of
high participation and
broad representation, each author should be involved in a maximum of two
oral papers and can only be
a single author of one. There are no restrictions on poster presentations.
Authors may want to keep
this in mind when stating their preferences concerning the mode of
presentation of their
submissions.
All abstracts will be reviewed anonymously by at least three referees.
Papers accepted to the
conference can be submitted to the refereed proceedings, and will be
published, subject to
acceptance, online by CSLI Publications. (Please note that papers submitted
to the proceedings are
no longer automatically accepted for publication in the proceedings.) See
http://web.stanford.edu/group/cslipublications/cslipublications/LFG/ for
recent proceedings.
PRE-CONFERENCE EXCURSION
There will be an optional conference excursion on Monday 11 July 2022.
ORGANISERS AND THEIR CONTACT ADDRESSES
If you have queries about abstract submission or have problems using the
EasyChair submission
system, please contact the Program Committee.
Program Chairs (Email: lfg22 'at' easychair.org)
Tina Bögel, University of Konstanz
Agnieszka Patejuk, Polish Academy of Sciences and University of Oxford
Local conference organizers (Email: lfgconf2022 'at' gmail.com)
Stephen Jones, University of Groningen
FURTHER INFORMATION
Further information about LFG as a framework for linguistic analysis is
available at the following site:
https://ling.sprachwiss.uni-konstanz.de/pages/home/lfg/
Hi all,
Just a reminder that the 31st SE-LFG meeting will take place this Saturday, February 5 from 1-4:30 PM, UK time. You can attend online via Zoom or in person in Oxford.
See the website for the Zoom link as well as titles and abstracts of the four presentations:
https://sites.google.com/site/selfgmeetings/south-of-england-lfg-meetings/s…
Joey